A bat-inspired algorithm for structural optimization

Hasançebi, O.; Teke, Turker; Pekcan, Onur

doi:10.1016/j.compstruc.2013.07.006

Cited by 128 publications

(51 citation statements)

References 14 publications

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“…The Bat Algorithm (BA) [29] is dependent upon ideal conduct of the echo-location ability of BAT. This presumes that D, the group of training NCM adjacency matrix and F, a candidate adjacency matrix are the inputs, and iteratively imposes the adjacency matrix.…”

Section: Bat Algorithm (Ba)mentioning

confidence: 99%

“…This process is repeated till, each and every training dataset is entire adjacency matrix are chosen. Fundamentally BA is a heuristic algorithm [29] whose idea is dependent upon the echolocation ability of micro bats, managing them on their scavenging conduct. In BA, the place of the bat denotes the best chosen adjacency matrix for the given classification issue.…”

Section: Bat Algorithm (Ba)mentioning

confidence: 99%

See 1 more Smart Citation

Gene selection and dynamic neutrosophic cognitive map with bat algorithm (DNCM-BA) for diagnose of rheumatoid arthritis (RAs)

Chithra¹,

Nedunchezhian²

2018

IJET

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Section: Bat Algorithm (Ba)mentioning

confidence: 99%

Section: Bat Algorithm (Ba)mentioning

confidence: 99%

Gene selection and dynamic neutrosophic cognitive map with bat algorithm (DNCM-BA) for diagnose of rheumatoid arthritis (RAs)

Chithra¹,

Nedunchezhian²

2018

IJET

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“…This is the reason why bat algorithm has been selected as a base method in this work to develop a nature-inspired test case prioritization algorithm. The bat algorithm has been used in a wide area applications; over the past 6 years, it has been used in gas tribune optimization [26], vehicle routing problem [27], dc motor optimization [28], and structure modeling problem [29].…”

Section: Bat Algorithmmentioning

confidence: 99%

A bat-inspired algorithm for prioritizing test cases

Öztürk

2017

Vietnam J Comput Sci

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By ordering test cases, early fault detection is focused on test case prioritization. In this field, it is widely known that algorithm and coverage criteria focused works are common. Previous works, which are related to test case prioritization, showed that practitioners need a novel method that optimizes test cases according to the cost of each test case instead of regarding the total cost of a test suite. In this work, by utilizing local and global search properties of a bat algorithm, a new bat-inspired test cases prioritization algorithm (BITCP) is proposed. In order to develop BITCP, test case execution time and the number of faults were adapted to the distance from the prey and loudness, respectively. The proposed method is then compared with four methods which are commonly used in this field. According to the results of the experiment, BITCP is superior to the conventional methods. In addition, as the complexity of the code of test cases increases, the decline in average percentage of fault detection is less in BITCP than the other four comparison algorithms produced.

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“…Dede [16] applied teaching-learning-based optimization on the optimum design of grillage structures with respect to LRFD-AISC. Hasançebi et al [17] used a bat-inspired algorithm for structural optimization. Saka and Geem [18] prepared an extensive review study on mathematical and metaheuristic applications in design optimization of steel frame structures.…”

Section: Introductionmentioning

confidence: 99%

Optimum Design of Braced Steel Space Frames including Soil-Structure Interaction via Teaching-Learning-Based Optimization and Harmony Search Algorithms

Daloglu

Artar

Özgan

et al. 2018

Advances in Civil Engineering

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Optimum design of braced steel space frames including soil-structure interaction is studied by using harmony search (HS) and teaching-learning-based optimization (TLBO) algorithms. A three-parameter elastic foundation model is used to incorporate the soil-structure interaction effect. A 10-storey braced steel space frame example taken from literature is investigated according to four different bracing types for the cases with/without soil-structure interaction. X, V, Z, and eccentric V-shaped bracing types are considered in the study. Optimum solutions of examples are carried out by a computer program coded in MATLAB interacting with SAP2000-OAPI for two-way data exchange. e stress constraints according to AISC-ASD (American Institute of Steel Construction-Allowable Stress Design), maximum lateral displacement constraints, interstorey drift constraints, and beam-tocolumn connection constraints are taken into consideration in the optimum design process. e parameters of the foundation model are calculated depending on soil surface displacements by using an iterative approach. e results obtained in the study show that bracing types and soil-structure interaction play very important roles in the optimum design of steel space frames. Finally, the techniques used in the optimum design seem to be quite suitable for practical applications.

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A bat-inspired algorithm for structural optimization

Cited by 128 publications

References 14 publications

Gene selection and dynamic neutrosophic cognitive map with bat algorithm (DNCM-BA) for diagnose of rheumatoid arthritis (RAs)

Gene selection and dynamic neutrosophic cognitive map with bat algorithm (DNCM-BA) for diagnose of rheumatoid arthritis (RAs)

A bat-inspired algorithm for prioritizing test cases

Optimum Design of Braced Steel Space Frames including Soil-Structure Interaction via Teaching-Learning-Based Optimization and Harmony Search Algorithms

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